About The Role

As Head of Engineering, you will be responsible for leading a team of 20~40 engineers, including three experienced Engineering Leads who report directly to you. You’ll define and drive technical strategy, lead complex system design efforts, and set the engineering culture for a high-performance team, and help the engineering leaders level-up. This is a highly hands-on leadership role: you’re expected to be deeply technical, capable of contributing to architecture reviews and writing production-quality code when needed.

Reporting Line: CEO

Key Responsibilities

• Lead, mentor, and scale an engineering team with at least three direct reports (Engineering Leaders)
• Set the technical vision and oversee system architecture, design, and implementation of frontend, backend and infrastructure systems
• Collaborate with cross-functional teams including product team, research team, and design team to deliver scalable and reliable systems
• Attend key customer meetings
• Stay close to the codebase – actively participate in architecture discussions, conduct design and code reviews, and contribute code when appropriate
• Foster a high-performance engineering culture grounded in ownership, innovation, and continuous improvement
• Drive hiring, onboarding, and career development for engineers across the team
  
  

What We’re Looking For

• Proven experience leading and scaling frontend, backend and infrastructure engineering teams, ideally in fast-paced startup or high-growth environments
• Strong systems design skills with hands-on experience building distributed systems, cloud-native infrastructure, or performance-critical backend systems
• Technical expertise in at least 2 of our core backend programming languages (Go, C++, Python, Rust)
• Experience with AWS, Kubernetes, Docker, and modern DevOps practices
• Excellent leadership and communication skills with a track record of growing high-performing teams
• A builder mindset: pragmatic, low-ego, and deeply collaborative
• Experience working on developer tools, infrastructure platforms, or AI/ML systems
  
  

Nice to Have

• Exposure to security, networking, or large-scale AI training/inference data systems
• Previous experience as a founding or early-stage technical leader